Haematological and biochemical assay in sub chronic toxicity and ameliorative effects of Ziziphus nummularia leaves extract on wister rat

Haematological and biochemical assay in sub chronic toxicity and ameliorative effects of Ziziphus nummularia leaves extract on wister rat | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Haematological and biochemical assay in sub chronic toxicity and ameliorative effects of Ziziphus nummularia leaves extract on wister rat Ramya Rengaraj, Stalin Arumugam, Praveen Kumar Dharmaraj, Varadharajan Gokula This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7705356/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The present investigation was conducted to evaluate the recovery effect of Ziziphus nummularia leaf extract against hepato-renal toxicity induced by Quinolphos in Wistar rats. The study aimed to assess changes in biochemical and hematological parameters, including liver marker enzymes, renal functions, lipid profile parameters, and hematological indices. Thirty male rats were randomly divided into five groups: control, Quinolphos-induced, Z. nummularia high dose (500 mg/kg), Z. nummularia low dose (250 mg/kg), and vehicle control (300 mg/kg). Treatments were administered orally for four weeks. Quinolphos and Z. nummularia were given in increasing doses relative to body weight. By the end of the second and fourth weeks, rats treated with Quinolphos in combination with Z. nummularia extract (250, 300, and 500 mg/kg) showed significant improvements (p ≤ 0.05) compared to the control group. In the lipid profile, rats receiving a high dose of Z. nummularia (500 mg/kg) exhibited significantly higher levels of LDL and HDL compared with controls. Biochemical analysis revealed that, by the end of the fourth week, activities of the liver marker enzymes alanine aminotransferase (ALT), aspartate aminotransferase (AST), and alkaline phosphatase (ALP) had significantly increased. Hematological studies showed elevated levels of lymphocytes and neutrophils, while basophil levels declined. Mean corpuscular hemoglobin (MCH) and mean corpuscular hemoglobin concentration (MCHC) were significantly higher in control animals (35 pg and 35 g/dL, respectively), with differences significant at the 0.05 level. However, no significant rise in triglycerides or total cholesterol was observed compared with controls. In conclusion, the present study demonstrates the hepatotoxic and renotoxic effects of Quinolphos, and suggests that Z. nummularia leaf extract may have protective or modulatory potential against such toxicity. Quinolphos Hepato renal toxicity lymphocytes Z. nummularia Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 1. INTRODUCTION Organophosphate pesticides are widely used in agriculture to control a broad range of pests. Among them, Quinalphos is a commonly employed compound noted for its high toxicity and environmental persistence. Its primary mode of action is the inhibition of acetylcholinesterase, which leads to the accumulation of acetylcholine at nerve synapses and consequent disruption of normal nervous system function (Kaur et al., 2017). Beyond neurotoxicity, the harmful effects of Quinalphos are largely mediated through the generation of reactive oxygen species (ROS), resulting in lipid peroxidation, enzyme inactivation, and cellular injury. Chronic exposure has been associated with oxidative stress, hepatotoxicity, nephrotoxicity, and hematological alterations (El-Shenawy, 2010 ; Rezg et al., 2010 ). In recent years, medicinal plants with antioxidant and anti-inflammatory properties have gained considerable attention as potential protective agents against pesticide-induced toxicity. Ziziphus nummularia (family: Rhamnaceae), traditionally used in Ayurvedic and Unani medicine, is known for its pharmacological activities, including hepatoprotective, nephroprotective, and antioxidant effects (Sharma et al., 2020 ). Its leaves contain diverse bioactive compounds such as flavonoids, alkaloids, saponins, and tannins, which contribute to free radical scavenging and cellular protection, particularly in liver and kidney tissues that are primary targets of toxic insult (Ahmad et al., 2014 ). Experimental studies have further highlighted the therapeutic potential of Z. nummularia leaf extracts. Ethyl acetate fractions demonstrated strong antioxidant activity, achieving nearly 97% DPPH radical scavenging in vitro, largely attributed to flavonoid glycosides such as quercetin and kaempferol (Mesmar et al., 2022 ). Additionally, these extracts exhibited notable anti-inflammatory activity by suppressing TNF-α–induced NF-κB activation and adhesion molecule expression in human vascular cells. In rodent models, topical application reduced edema and promoted wound healing, further supporting its tissue-protective capacity (Fardoun et al., 2017). Given the reported hepatoprotective effects of related Ziziphus species, these findings justify exploring its efficacy against Quinalphos-induced liver and kidney toxicity. Therefore, the present study was designed to evaluate the protective effects of Z. nummularia leaf extract against Quinalphos-induced hepatic and renal toxicity in Wistar rats, with particular emphasis on biochemical and hematological parameters. 2. Materials and methods 2.1 Chemicals and Instruments All chemicals and reagents used were of analytical grade. Ethanol, xylene, chloroform, May–Grünwald solution, Giemsa stain solution, Bouin’s solution, haematoxylin, eosin, paraffin wax, sodium hydroxide, and distilled water were procured from HiMedia Ltd., Mumbai, India. Plant materials were dried and ground using a ventilation-assisted drying oven (1350FX, USA) and grinding mill (MX-335, Panasonic, Malaysia). Haematological tests were performed using an automated haematology analyser (Coulter T890, Beckman Coulter, Tokyo), and biochemical analyses were carried out on a Dade Behring Dimension RxL analyser (Siemens Healthcare, Camberley, UK). 2.2 Identification, Collection, and Extraction of Plant Material Fresh leaves of Ziziphus nummularia (Burm.f.) Wight & Arn. were collected in January 2025 from Nallur, Thiruvarur district, Tamil Nadu, India. The plant was authenticated by Fr. L. John Peter Arulanandam SJ, St. Joseph’s College, Tiruchirappalli. A voucher specimen (Accession No. SJCR.R001) was deposited at the Rapinet Herbarium and Centre for Molecular Systematics, St. Joseph’s College, Tiruchirappalli, Tamil Nadu, India (PIN 620002). Leaves were dried at a moderate temperature (3.0 kg batch), crushed, and powdered. Maceration of the powdered leaves was performed in ethanol (100 mg) for 72 h at room temperature. The extract was filtered through Whatman No. 1 filter paper and concentrated under reduced pressure using a rotary evaporator to obtain the crude extract (Zhang et al., 2018). 2.3 Experimental Animals Male Wistar albino rats (6–8 weeks old, weighing 100–120 g) were procured from the National Institute of Nutrition (Hyderabad, India). Animals were maintained under standard laboratory conditions with a commercial pellet diet and water ad libitum. They were acclimatized for one week before experimentation. All procedures followed the methods described by Nguenang et al. (2020). A total of 30 rats were divided into five groups (n = 6 per group). Control animals received distilled water via oral gastric intubation, while treatment groups (Groups II–V) received respective interventions for 28 consecutive days. 2.4 Experimental Design The study design followed OECD guideline 407 (OECD, 2008). Rats were divided as follows: Group I – Control: Received distilled water (normal saline), Group II – Toxicant-induced: Received Quinalphos only, to induce hepato-renal toxicity, Group III – High-dose treatment: Received Quinalphos + Z. nummularia extract (400 mg/kg body weight), Group IV – Low-dose treatment: Received Quinalphos + Z. nummularia extract (200 mg/kg body weight), Group V – Vehicle control: Received Quinalphos + vehicle used for plant extract delivery, to exclude effects due to the solvent. 2.5 Sacrifice of Animals and Collection of Samples At the end of the 28-day treatment (day 29), rats were anesthetized by intraperitoneal injection of a ketamine–xylazine cocktail (100 mg/kg ketamine + 12 mg/kg xylazine, ratio 10:1). Blood was collected by retro-orbital puncture into heparinised capillary tubes. Serum was separated by centrifugation at 3000 rpm for 10 min and stored at − 20°C until biochemical analysis. This preservation ensured reliable haematological and biochemical evaluation. 2.6 Biochemical Assays Biochemical parameters were analyzed following Nguenang et al. (2020). Serum proteins, urea, creatinine, total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL), triglycerides (TG), and alkaline phosphatase (ALP) were measured using commercial kits (SPINREACT, Spain). Liver enzymes [alanine aminotransferase (ALT), aspartate aminotransferase (AST), and alkaline phosphatase (ALP)] were determined by enzyme immunoassay (EIA) kits (Sigma-Aldrich, St. Louis, MO) following Reitman and Frankel (1957). Serum albumin was quantified, and renal function was assessed by measuring urea and creatinine levels (Bartels et al., 1972). 2.7 Haematological Parameters Haematological indices were measured using an automated analyser (QBC Auto-Read Plus; Beckman Coulter JT series). Parameters included leukocytes, neutrophils, eosinophils, basophils, lymphocytes, monocytes, red blood cells (RBC), haemoglobin (Hb), mean corpuscular volume (MCV), mean corpuscular haemoglobin (MCH), mean corpuscular haemoglobin concentration (MCHC), platelets (PLT), haematocrit (HCT), and red cell distribution width (RDW-CV and RDW-SD). 2.8 Red Blood Cell Indices Red blood cell indices were calculated using Wintrobe’s formulas (1929) with Hb (g/dL), packed cell volume (PCV, %), and RBC count (million/µL): MCV (fL) = (PCV × 10) / RBC MCH (pg) = (Hb × 10) / RBC MCHC (g/dL) = (Hb × 100) / HCT (or PCV) 2.9 Statistical Analysis Data were expressed as mean ± standard deviation (SD). One-way analysis of variance (ANOVA) was performed using the General Linear Model in IBM SPSS software. Post-hoc comparisons were carried out with the Waller–Duncan test. Statistical significance was set at p ≤ 0.05. 3. Results This study evaluated the recovery from Quinolphos-induced toxicity following treatment with Ziziphus nummularia leaf extract. Biochemical assays assessed hepatic, renal, and lipid parameters, while haematological indices were also examined. Rats were divided into five groups (n = 6 each): control, induced, high dose (500 mg/kg), low dose (250 mg/kg), and vehicle (300 mg/kg). 3.1 Effect on Hepatic Function 3.1.1 Liver Marker Enzymes (ALT, AST, ALP) The activities of alanine aminotransferase (ALT), aspartate aminotransferase (AST), and alkaline phosphatase (ALP) are summarized in Table 1 and Figs. 1 – 2 . Table 1 : ANOVA statistical analysis of liver functions test in rats recovery of chronic toxicity analysis in quinolphos induced ziziphus nummularia leaves extract Table:1. Data represented as mean + SD (ANOVA)(n=6) a significant at p< 0.05, compared to control, b significant at p< 0.05 of the 500 mg/kg (high dose)treated groups compared to control and c significant at p< 0.05 of the 250 mg/kg (low dose)treated groups compared to control.,where p-value significant at p< 0.05 ALT Quinolphos induction significantly reduced ALT activity (10.88) compared to the control (13.35, p < 0.05). High-dose treatment restored ALT to 14.06 (p 0.05). The low-dose group (12.10) showed partial recovery, while the vehicle group (13.46) was similar to control. AST The induced group recorded a significant decline (13.40 ± 0.46) compared with control (15.10 ± 1.96, p < 0.05). Both high-dose (16.40 ± 2.04) and low-dose (16.56 ± 1.18) treatments significantly improved AST activity (p 0.05). ALP A slight elevation was observed in the induced group (53.55) compared to control (52.70), but this was not significant (p > 0.05). High-dose (52.20) and low-dose (52.40) treatments normalized ALP activity, with no differences from control or vehicle (p > 0.05). Quinolphos altered liver enzyme activities, while Z. nummularia extract, particularly at the high dose, restored ALT and AST levels toward normal, with ALP remaining largely unaffected. 3.1.2 Serum Protein Profile (Albumin, Globulin, Total Protein, A/G Ratio) Table 1 presents the effects of Quinolphos and Z. nummularia on serum protein levels. Albumin Quinolphos induction significantly increased albumin (1.72 ± 0.05 g/dL) vs. control. High-dose treatment restored levels to 1.23 ± 0.05 g/dL (p < 0.05 vs. induced), comparable to control.Low dose (1.03 ± 0.05 g/dL) showed partial recovery. Globulin The induced group showed elevated globulin (2.26 ± 0.06 g/dL) vs. control. High dose significantly reduced globulin (1.33 ± 0.06 g/dL; p < 0.001 vs. induced). Low dose showed moderate improvement (1.60 ± 0.06 g/dL). Total Protein Quinolphos induction elevated total protein (3.97 ± 0.07 g/dL). High dose (3.56 ± 0.07) and low dose (3.65 ± 0.07) normalized values close to control. A/G Ratio Both high-dose (0.36 ± 0.07) and low-dose (0.32 ± 0.18) groups showed marked decreases in the A/G ratio compared to control and induced groups (p < 0.01). Treatment with the high dose markedly restored these parameters toward normal values, with albumin (1.23 ± 0.05 g/dl) and total protein (3.56 ± 0.07 g/dl) being comparable to the control group, while globulin levels were significantly reduced ( 1.33 ± 0.06 g/dl; p < 0.001 compared to induced ) . The low dose group showed partial improvement, recording albumin (1.03 ± 0.05 g/dl), globulin (1.60 ± 0.06 g/dl), and total protein (3.65 ± 0.07 g/dl), which were significantly lower than the induced group but remained above high dose values. The vehicle group did not differ significantly from control.In albu globulin ratio g/dl where both the High Dose (0.36 ± 0.07) and Low Dose (0.32 ± 0.18) groups showed a marked decrease in the A/G ratio, indicating significant changes compared to both Control and Induced groups ( p < 0.01 ) . 3.1.3 Bilirubin Levels (Direct, Indirect, Total) Direct Bilirubin Only the low-dose group showed a significant elevation (0.1333 ± 0.0231 mg/dL; p < 0.01 vs. control). High dose (0.0700 ± 0.0200) and vehicle (0.0767 ± 0.0116) remained comparable to control. Indirect Bilirubin Induced, high-dose, low-dose, and vehicle groups all showed significant declines compared to control (p < 0.01–0.05), suggesting altered bilirubin metabolism. Total Bilirubin Both induced and treatment groups recorded reductions compared with control, except the vehicle group, which remained statistically similar. 3.2 Renal Function Parameters (Urea, Creatinine, Uric Acid, Glucose) Urea Serum urea levels ranged from 15.40 ± 1.60 to 19.03 ± 2.92 mg/dL across groups. No significant differences were observed (p > 0.05). Creatinine Levels remained stable (0.70–0.80 ± 0.10 mg/dL) with no significant differences across groups (p > 0.05). Glucose Serum glucose levels varied widely (33.05 ± 5.55 to 61.33 ± 24.17 mg/dL). The vehicle group showed a significant increase compared to control. In Table 2 Urea levels are not significantly different among groups. The mean serum urea levels ranged from 15.40 ± 1.60 mg/dL to 19.03 ± 2.92 mg/dL across the experimental groups. It is indicated that the differences were not statistically significant (p > 0.05). This suggests that quinolphos exposure and treatment alter urea levels. Creatinine is stable, no significant effect across groups. Serum creatinine values were maintained between 0.70 ± 0.10 mg/dL and 0.80 ± 0.10 mg/dL across groups. No significant difference was detected among groups compared to control ( p > 0.05 ). Glucose is significantly higher in vehicle compared to control. Serum glucose levels varied more widely, ranging from 33.05 ± 5.55 mg/dL to 61.33 ± 24.17 mg/dL. Table 2 ANOVA statistical analysis of renal functions test in rats chronic recovery of toxicity analysis in quinolphos induced ziziphus nummularia leaf extract Parameter Control Quinolphos Induced High Dose (500 mg/kg) Low Dose (250 mg/kg) Vehicle Urea (mg/dL) 18.1 ± 2.7 15.4 ± 1.6ᵃ 15.6 ± 2.3ᵇ 18.0 ± 4.5ᶜ 19.0 ± 2.9 Creatinine (mg/dL) 0.70 ± 0.10 0.80 ± 0.10ᵃ 0.70 ± 0.10ᵇ 0.73 ± 0.15ᶜ 0.70 ± 0.10 Uric Acid (mg/dL) 1.65 ± 0.15 1.25 ± 0.05ᵃ 1.60 ± 0.30ᵇ 1.57 ± 0.25ᶜ 1.53 ± 0.38 Glucose (mg/dL) 33.8 ± 17.9 33.1 ± 5.6 35.3 ± 16.9ᵇ 61.3 ± 24.2ᶜ 41.2 ± 14.8 Table:2 Data represented as mean + SD (ANOVA) a significant at p < 0.05, compared to control b significant at p < 0.05 of the 500 mg/kg (high dose)treated groups compared to control c significant at p < 0.05 of the 250 mg/kg (low dose)treated groups compared to control.,where p-value significant at p < 0.05 3.3 Lipid Profile Parameters Treatment with Z. nummularia extract significantly improved HDL levels (p < 0.05), particularly in the high-dose group (500 mg/kg). The low-dose group (250 mg/kg) also showed significant improvement. LDL/HDL and TC/HDL ratios approached normal in extract-treated groups compared to Quinolphos-induced rats (Table 3 , Fig. 3 ). Table 3 ANOVA statistical analysis of lipid parameters in rats chronic recovery of toxicity analysis in quinolphos induced ziziphus nummularia leaf extract Parameter Control Quinolphos Induced High Dose (500 mg/kg) Low Dose (250 mg/kg) Vehicle Total Cholesterol (mg/dL) 136.0 ± 12.0 124.0 ± 5.0 153.0 ± 17.1ᵇ 157.7 ± 10.5ᶜ 149.7 ± 17.5 Triglycerides (mg/dL) 111.0 ± 22.0 117.5 ± 5.5 89.7 ± 12.0ᵇ 138.3 ± 16.9ᶜ 106.0 ± 8.2 HDL (mg/dL) 13.4 ± 2.2 21.2 ± 2.3ᵃ 19.6 ± 7.6ᵇ 25.6 ± 6.2ᶜ 22.7 ± 3.8 LDL (mg/dL) 100.4 ± 18.6 79.4 ± 3.9 115.5 ± 24.1ᵇ 104.4 ± 9.0ᶜ 105.7 ± 13.0 VLDL (mg/dL) 22.2 ± 4.4 23.5 ± 1.1 17.9 ± 2.4ᵇ 27.7 ± 3.4ᶜ 21.2 ± 1.6 TC/HDL Ratio 10.6 ± 2.6 5.9 ± 0.4ᵃ 8.7 ± 3.5ᵇ 6.4 ± 1.4ᶜ 6.5 ± 0.2 Non-HDL (mg/dL) 122.6 ± 14.2 102.9 ± 2.8 133.4 ± 24.6ᵇ 132.1 ± 8.7ᶜ 126.9 ± 13.7 LDL/HDL Ratio 7.9 ± 2.7 3.8 ± 0.2ᵃ 6.7 ± 3.2ᵇ 4.3 ± 1.3ᶜ 4.7 ± 0.3 Table 3 : Data represented as mean + SD (ANOVA)(n=6). a significant at p< 0.05, compared to control b significant at p< 0.05 of the 500 mg/kg (high dose)treated groups compared to control c significant at p< 0.05 of the 250 mg/kg (low dose)treated groups compared to control.,where p-value significant at p< 0.05 3.4 Haematological Indices As shown in Table 4 , high-dose treatment significantly increased Hb, RBC, PCV, and platelet counts compared with control (p < 0.05). Quinolphos exposure altered leukocyte distribution: neutrophils increased (p 0.05), and eosinophils, monocytes, and basophils declined significantly (p < 0.05 vs. control; Fig. 6 ). Table 4 Effect of Haematological indices in Quinolphos induced Ziziphus nummularia leaves extract ; Group Hb (g/dL) PCV% RBC (×10⁶/µL) WBC (cells/µL) Platelets (×10³/µL) Control 6.97 ± 0.46ᵃ 19.90 ± 2.09 a 1.99 ± 0.66ᵃ 12,533ᵃ 332 ± 45.54ᵃ Induced 8.13 ± 0.46ᵇ* 27 ± 0.46 b* 2.71 ± 0.15ᵇ* 9,600 ᵇ* 333 ± 60.61ᵃ High Dose 7.27 ± 1.0ᵇᶜ 24.33 ± 1.0 bc 2.42 ± 0.33ᶜ* 8,900 ± 721ᵇ* 384 ± 34.67ᶜ* Low Dose 7.60 ± 0.96ᶜ 25.33 ± 0.96 bc 2.53 ± 0.32ᶜ 12,467 ᵃᶜ 400 ± 27.07ᶜ** Vehicle 6.83 ± 0.11ᵃ 22.77 ± 0.12 ac 2.28 ± 0.04ᵃᶜ 11,000 ᵃᶜ 356 ± 62.32ᵃᶜ Values are expressed as Mean ± SD (n = 6).p < 0.05 considered statistically significant.Superscripts (a, b, c) indicate statistical comparisons where a: not significantly different from Control,b: significant compared to Control (p < 0.05) c: significant compared to Induced (p < 0.05): p < 0.05, ** : p < 0.01 Z. nummularia extract moderated these effects. The low-dose group reduced neutrophil elevation (p < 0.05 vs. induced) and restored lymphocyte levels toward normal. The high-dose group prevented further deterioration but did not fully normalize values. The vehicle group remained comparable to control (not significant). 3.4.1 Red Blood Cell Indices (MCV, MCH, MCHC) MCV All groups remained at ~ 100 fL; no significant differences were observed (p > 0.05). MCH & MCHC : Control animals recorded significantly higher values (MCH: 35 pg; MCHC: 35 g/dL). Quinolphos induction caused a marked reduction (30 pg; 30 g/dL, p < 0.05 vs. control). 4. Discussion Ziziphus species, including Z. nummularia , are generally regarded as non-toxic at therapeutic doses, although further rigorous toxicity studies are required to confirm their safety profile. Previous investigations have not reported target-organ toxicity or mortality associated with Z. nummularia at minimal dosing (El Maaiden et al., 2020 ). The phytochemical composition of Z. nummularia leaf extract includes terpenoids, flavonoids, and alkaloids, which are known to possess pharmacological and phytopharmaceutical significance. A recent study (Imran et al., 2024 ) demonstrated that fractionated ethanolic leaf extracts exhibit strong antioxidant and anticancer properties, particularly against triple-negative breast cancer cells. In the present study, quinolphos exposure altered liver enzyme activity, while Z. nummularia leaf extract—particularly at the high dose—significantly restored ALT and AST levels, with ALP remaining largely unaffected. There was significant decrease observed in serum albumin and total protein level of rat in lead acetate only compared to control.In contract other than certain rats treated with DSALME-MD there was a significant increase level compared control is investigated in (E.F Isoje et.,al 2025). This hepatoprotective effect is consistent with the observed normalization of lipid parameters. Since reductions in HDL-C and elevations in TG/VLDL-C are markers of atherogenic risk, reversal of these alterations suggests that Z. nummularia may mitigate cardiometabolic risk secondary to toxicant exposure. While rodent lipid values cannot be directly extrapolated to human clinical risk, the trend toward normalization strongly indicates hepatoprotection. Quinolphos exposure also significantly impaired renal function, as evidenced by elevated serum urea and creatinine. Treatment with Z. nummularia leaf extract mitigated these changes in a dose-dependent manner, with the 500 mg/kg dose demonstrating superior renoprotective effects. These findings are consistent with earlier reports where extracts from other Ziziphus species ( Z. jujuba , Z. mauritiana ) reduced urea and creatinine in nephrotoxicity models (Alsayari et al., 2022; Labban, 2013). Antioxidant-rich plants are known to counteract renal injury (Kumar et al., 2021), and our results extend this protective role to Z. nummularia leaves. Importantly, creatinine is considered a more precise biomarker of renal function compared to urea, which may vary with diet and exercise (Ebohon et al., 2020 ). Quinolphos exposure significantly impaired renal function as evidenced by increased serum urea and creatinine(Table 3 ). Treatment with Z. nummularia leaf extract mitigated these alterations in a dose-dependent, with 500 mg/kg showing superior protective effects. Artesunate treatment for 45 days significantly increased glucose where non- significant effect on urea and creatinine (P.Bigoniya et al., 2015 ). The findings indicate that Z. nummularia leaf extract exerts a renoprotective effect against quinolphos-induced toxicity), indicating preserved renal clearance capacity Their normalization by Z. nummularia suggests that the extract may safeguard the kidneys against toxicant-induced injury, potentially lowering risk of chronic renal impairment. Our results extend these observations to Z. nummularia leaves, highlighting a dose-dependent renoprotective effect. Renal dysfunction is evaluated using signs such as urea, creatinine, and electrolyte measurements. However, compared to blood urea nitrogen, the creatinine test is a more precise indicator of renal impairment. This is due to the fact that a high-protein diet and exercise might affect blood urea levels (Ebohon,O et al.,2020).Overall, high dose treatment demonstrated the most effective normalization of serum protein markers, indicating a protective effect against quinolphos-induced alterations. Lipid profile analysis further supports the protective potential of Z. nummularia . Quinolphos exposure produced dyslipidemia, characterized by increased TC, LDL-C, and non-HDL cholesterol, alongside decreased HDL-C (p < 0.05 vs. control). Treatment with Z. nummularia leaf extract improved these indices in a dose-dependent manner, with the high-dose group showing the strongest recovery. These effects are attributed to bioactive flavonoids and saponins, which enhance HDL-C and reduce LDL-C levels (Kumar et al., 2021; Alsayari et al., 2022). Similar protective effects of antioxidant-rich plant extracts against organophosphate-induced dyslipidemia have been reported previously (Patel et al., 2021). Total Cholesterol (TC): Quinolphos induction increased TC compared with control (124 increases in 153 mg/dL). Administration of Z. nummularia extract, particularly at high dose, tended to reduce cholesterol toward near-normal values (157.7 in induced when compared to 144.0mg/dL in treated).Triglycerides (TG): Induced rats showed fluctuations, with a notable reduction compared to control (111 directly increases to 89.6 mg/dL). Treatment with Z. nummularia extract normalized TG levels (138.3 in high doses compared to 106.0 in vehicle), showing recovery toward physiological levels. The sub chronic oral toxicity investigation of plant showed dose dependent variation LDL cholesterol in rats treated with crude extract of H.roeperianum (ngaffo et al., 2022) statistically signicant level were observed. Quinolphos exposure also produced hematological alterations. Significant leukocyte redistribution was observed, with increased neutrophils and lymphocytes, reflecting systemic inflammation and immune stress. High- and low-dose Z. nummularia treatment groups demonstrated partial to near-complete normalization of leukocyte counts, with the low dose showing slightly better lymphocyte recovery. These results align with previous findings of organophosphate-induced immunotoxicity (Acharya et al., 2024 ). RBC indices (MCV, MCH, and MCHC) revealed hypochromia in the induced group, with treatment unable to fully restore values to control levels. Nonetheless, Z. nummularia treatment improved erythropoietic balance and platelet counts, suggesting hematopoietic modulation. Similar effects have been observed in other plant-based interventions (Lodish et al., 2010 ; Yakubu et al., 2024). Mean Corpuscular Volume (MCV) All groups remained at ~ 100fL non-significant difference indicating a normocytic profile across treatments and induced conditions. MCH & MCHC which is Control animals had significantly higher MCH (35 pg) and MCHC (35 g/dL). Induced group showed a marked reduction (30 pg / 30 g/dL, p < 0.05), consistent with hypochromia due to quinolphos toxicity(Table 5 ). Both high and low dose treatment groups, as well as the vehicle group, maintained values closer to the Induced group rather than Control. This suggests that while treatment modulated RBC and Hb counts, it did not completely restore RBC indices. Table 5 Mean Corpuscular Volume (MCV),Mean Corpuscular Haemoglobin (MCH) and Mean Corpuscular Haemoglobin Concentration (MCHC) in quinolphos induced Ziziphus nummularia leaves extract Group MCV (fL) MCH (pg) MCHC (g/dL) Control 100.0 ± 0.2ᵃ 35.01 ± 0.43ᵃ 35.01 ± 1.20ᵃ Induced 100.0 ± 0.1ᵃ 30.01 ± 0.23ᵇ* 30.01 ± 1.30ᵇ* High Dose 100.0 ± 0.2ᵃ 29.99 ± 0.33ᵇ* 29.99 ± 0.2ᵇ* Low Dose 100.0 ± 0.3ᵃ 30.00 ± 0.34ᵇ* 30.00 ± 1.7ᵇ* Vehicle 100.0 ± 0.7ᵃ 30.01 ± 0.34ᵇ* 30.01 ± 0.5ᵇ* Values expressed as Mean ± SD(ANOVA). a : no significant change compared to Control, b : significant compared to Control (p < 0.05) *: where p-value is significant at < 0.05, MCV = Mean Corpuscular Volume (MCV),Mean Corpuscular Haemoglobin (MCH) and Mean Corpuscular Haemoglobin Concentration (MCHC) In (Table 4 ) Induced group showed a significant rise in RBC, possibly due to compensatory erythropoiesis. Treatment (high dose more than low dose) reduced RBC values closer to normal, suggesting protective effect. Total RBC, haemoglobin, platelets, lymphocytes, and mean corpuscular haemoglobin concentration have not changed. Significant increases in WBC, neutrophil, eosinophil, packed cell volume, and mean cell haemoglobin were observed at the 8mg/kg/day dose level (p < 0.01))( P.Bigoniya et al., 2015 ). In (Fig. 6 ) Treatment with Z. nummularia leaf extract demonstrated a dose-dependent corrective effect is the high-dose group (500 mg/kg) exhibited near-control values in both neutrophils and lymphocytes, while the low-dose group showed moderate improvement. Minor variations in eosinophils and basophils were observed but remained within physiological ranges. Quinolphos-induced group which shows neutrophilia and lymphocytopenia of stress-induced leukocyte shift, consistent with systemic inflammation and immunotoxicity. High- and low-dose Z. nummularia extract Improved lymphocyte levels. Reduced neutrophil rise compared with induced group Taken together, the hepatoprotective, renoprotective, hypolipidemic, and immunomodulatory effects observed in this study indicate that Z. nummularia extract can effectively counteract quinolphos-induced toxicity. Conclusion This study highlights the importance of integrating biochemical and hematological indices to assess systemic toxicity and therapeutic interventions. Parameters such as RBC, Hb, WBC, and platelet counts provided insight into oxygen transport, immune regulation, and hemostasis, while liver and kidney function markers (ALT, AST, ALP, urea, creatinine, electrolytes) revealed the metabolic integrity of vital organs. The ethanolic extract of Ziziphus nummularia leaves demonstrated a significant protective effect against quinolphos-induced hepato-renal toxicity and dyslipidemia in rats. The high dose (500 mg/kg) consistently showed stronger recovery trends compared to the low dose (250 mg/kg), indicating a clear dose-dependent response. Importantly, no lethality or severe adverse effects were observed at the tested concentrations, suggesting a favorable safety profile. Unlike previous works that focused on isolated endpoints, this study provides a multiparametric evaluation of hepato-renal protection, lipid regulation, and hematological balance. The results highlight the immunomodulatory potential of Z. nummularia in mitigating quinolphos-induced systemic toxicity. Overall, this research adds novel mechanistic evidence supporting Z. nummularia as a promising natural candidate for preventing or alleviating organ damage caused by environmental toxicants. Further studies—particularly chronic toxicity and mechanistic pathway analyses—are warranted to translate these findings into clinical applications. Abbreviations Parameter Abbreviation Alanine Aminotransferase ALT / SGPT Aspartate Aminotransferase AST / SGOT Alkaline Phosphatase ALP Globulin Albu globulin Ratio GLOB A/G Ration Cholesterol TC High-Density Lipoprotein HDL-C Low-Density Lipoprotein LDL-C Very Low-Density Lipoprotein VLDL-C White Blood Cell Count WBC Red Blood Cell Count RBC Hemoglobin Hb Hematocrit HCT / PCV Mean Corpuscular Volume MCV Mean Corpuscular Hemoglobin MCH Mean Corpuscular Hemoglobin Concentration MCHC Platelet Count PLT Neutrophils NEUT / ANC Lymphocytes LYM Monocytes MONO Eosinophils EOS Basophils BASO Declarations Ethical Approval: The research/study was approved by the IAEC of J'J College of Arts and Science (Autonomous), Pudukkottai, number JJC/BC/AH/010/2025 dated May 2025. Consent for Publication -Not applicable. Consent for Participation -Not applicable Availability of data: The datasets generated and/or analyzed during the current study are available from the corresponding author . Author contribution statement RR led the research design, analysis, and manuscript preparation. AS and DP supervised the methodology GV contributed to revisions, supported literature review and result interpretation. Funding This research did not receive any specific grant from funding agencies in the public,commercial and not-for-profit sectors. Conflict of interest The authors declare no conflict of interest Acknowledgement: The authors express their sincere gratitude to National college, PG and Research Department of Zoology and KIRND Institute Of Research and Development Pvt for providing the necessary facilities and Technical support for this research. Special thanks to all colleagues and contributors who offered guidance and assistance throughout the study. References Acharya, B., Behera, A., Sahu, P. K., Chowdhury, B., & Behera, S. (2024). 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Ziziphusnummularia : A Comprehensive Review of Its Phytochemical Constituents and Pharmacological Properties. Molecules , 27 (13), 4240.https://doi.org/10.3390/molecules27134240 Rezg, R., Mornagui, B., El-Fazaa, S., &Gharbi, N. (2010).Biochemical and histopathological evaluation of hepatic damage induced by subchronic exposure to propoxur in rats. Ecotoxicology and Environmental Safety , 73(5), 1350–1356. https://doi.org/10.1016/j.ecoenv.2010.05.009 Sarkar, B.; Chatterjee, A.; Adhikari, S.; Ayyappan, S. Carbofuran ( 2005) cypermethrin induced histopathological alterations in the liver of Labeorohita and its recovery. J ApplIchthyol , 21 , 131–135. Sharma, S., Kumar, D., & Jain, A. (2020).Pharmacognostical and phytochemical review of Ziziphusnummularia . Journal of Pharmacognosy and Phytochemistry , 9(5), 1425–1430. Additional Declarations No competing interests reported. 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the 500 mg/kg (high dose)treated groups compared to control. \u003csup\u003ec \u003c/sup\u003esignificant at p\u0026lt; 0.05 of the 250 mg/kg (low dose)treated groups compared to control.,where p-value significant at p\u0026lt; 0.05\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-7705356/v1/3eca42a4314c9af7699a43ce.png"},{"id":93993776,"identity":"69cc0a6d-23f4-4826-8487-19f15236d7f2","added_by":"auto","created_at":"2025-10-21 06:25:27","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":120506,"visible":true,"origin":"","legend":"\u003cp\u003eEffect of chronic toxicity analysis in quinolphos induced ziziphus nummularia leaves extract in total protein,Direct bilirubin,indirect bilirubin and bilirubin total among five experimental groups containing each six in numbers (n=6) following 28 days of oral administration as mean + SD (ANOVA). \u003csup\u003ea \u003c/sup\u003esignificant at p\u0026lt; 0.05, compared to control .\u003csup\u003eb \u003c/sup\u003esignificant at p\u0026lt; 0.05 of the 500 mg/kg (high dose)treated groups compared to control. \u003csup\u003ec \u003c/sup\u003esignificant at p \u0026lt; 0.05 of the 250 mg/kg (low dose)treated groups compared to control, where p-value significant at p \u0026lt; 0.05\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-7705356/v1/d28f0bce0946c103800ca2e9.png"},{"id":93994823,"identity":"7e7b2488-ecbd-4cca-b53c-5c8d6b739743","added_by":"auto","created_at":"2025-10-21 06:41:27","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":179470,"visible":true,"origin":"","legend":"\u003cp\u003eeffect of quinolphos induced ziziphus nummularia leaves extract in Urea, creatinine, uric acid and glucose among five experimental groups containing each six in numbers (n=6) following 28 days of oral administration as mean + SD (ANOVA). \u003csup\u003ea \u003c/sup\u003esignificant at p\u0026lt; 0.05, compared to control .\u003csup\u003eb \u003c/sup\u003esignificant at p\u0026lt; 0.05 of the 500 mg/kg (high dose)treated groups compared to control. \u003csup\u003ec \u003c/sup\u003esignificant at p\u0026lt; 0.05 of the 250 mg/kg (low dose)treated groups compared to control, where p-value significant at p\u0026lt; 0.05\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-7705356/v1/4373463cf0365ccb06f08bd0.png"},{"id":93993788,"identity":"aa54387a-7731-4b7c-aff8-e090ada7ff58","added_by":"auto","created_at":"2025-10-21 06:25:27","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":228941,"visible":true,"origin":"","legend":"\u003cp\u003eeffect of quinolphos induced ziziphus nummularia leaves extract in lipid serum parameters Total cholesterol, triglycerides, HDL and LDL among five experimental groups containing each six in numbers (n=6) following 28 days of oral administration as mean + SD (ANOVA). \u003csup\u003ea \u003c/sup\u003esignificant at p\u0026lt; 0.05, compared to control .\u003csup\u003eb \u003c/sup\u003esignificant at p\u0026lt; 0.05 of the 500 mg/kg (high dose)treated groups compared to control. \u003csup\u003ec \u003c/sup\u003esignificant at p\u0026lt; 0.05 of the 250 mg/kg (low dose)treated groups compared to control, where p-value significant at p\u0026lt; 0.05\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-7705356/v1/3e8e860579e0fa1b9ac00f04.png"},{"id":93994000,"identity":"26b5b7d7-6b67-4cc9-a6ca-1007612a422e","added_by":"auto","created_at":"2025-10-21 06:33:27","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":199807,"visible":true,"origin":"","legend":"\u003cp\u003eeffect of \u0026nbsp;Quinolphos induced Ziziphus nummularia leaves extract in lipid serum parameters VLDL, total chol/HDL ratio, LDL-HDL ratio and Non HDL among five experimental groups containing each six in numbers (n=6) following 28 days of oral administration as mean + SD (ANOVA). \u003csup\u003ea \u003c/sup\u003esignificant at p\u0026lt; 0.05, compared to control .\u003csup\u003eb \u003c/sup\u003esignificant at p\u0026lt; 0.05 of the 500 mg/kg (high dose)treated groups compared to control. \u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003csup\u003ec \u003c/sup\u003esignificant at p \u0026lt; 0.05 of the 250 mg/kg (low dose)treated groups compared to control, where p-value significant at p\u0026lt; 0.05\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-7705356/v1/1a982a6d4493765573959459.png"},{"id":93994001,"identity":"03894343-6970-454a-9ad2-f09510d4bc6f","added_by":"auto","created_at":"2025-10-21 06:33:27","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":33682,"visible":true,"origin":"","legend":"\u003cp\u003eEffect of Haematological indices in quinolphos induced ziziphus nummularia leaves extract\u003c/p\u003e\n\u003cp\u003eWBC – (Monocytes,Lymphocytes,Basophils,Eosinophils and Neutrophils) in %\u003c/p\u003e","description":"","filename":"6.png","url":"https://assets-eu.researchsquare.com/files/rs-7705356/v1/2d7ad8cc6c591a102a1c4e99.png"},{"id":98504663,"identity":"0a49ff0e-97b5-4db3-a065-d543648c2065","added_by":"auto","created_at":"2025-12-18 10:25:00","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1778515,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7705356/v1/04e7baa1-37aa-4423-86a8-83e109c52e0c.pdf"},{"id":93993784,"identity":"fed99b5c-9ad0-4557-bf9d-18e31e216f0c","added_by":"auto","created_at":"2025-10-21 06:25:27","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":341866,"visible":true,"origin":"","legend":"","description":"","filename":"graphicalAbstract.docx","url":"https://assets-eu.researchsquare.com/files/rs-7705356/v1/4237daffc4ce9b99d98f5ca9.docx"},{"id":93993781,"identity":"71550bfc-5be6-43a7-86ef-a63e67d79ef5","added_by":"auto","created_at":"2025-10-21 06:25:27","extension":"docx","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":15653,"visible":true,"origin":"","legend":"","description":"","filename":"Highlights.docx","url":"https://assets-eu.researchsquare.com/files/rs-7705356/v1/e918360942475dc9a6d6e4c2.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Haematological and biochemical assay in sub chronic toxicity and ameliorative effects of Ziziphus nummularia leaves extract on wister rat","fulltext":[{"header":"1. INTRODUCTION","content":"\u003cp\u003eOrganophosphate pesticides are widely used in agriculture to control a broad range of pests. Among them, Quinalphos is a commonly employed compound noted for its high toxicity and environmental persistence. Its primary mode of action is the inhibition of acetylcholinesterase, which leads to the accumulation of acetylcholine at nerve synapses and consequent disruption of normal nervous system function (Kaur et al., 2017). Beyond neurotoxicity, the harmful effects of Quinalphos are largely mediated through the generation of reactive oxygen species (ROS), resulting in lipid peroxidation, enzyme inactivation, and cellular injury. Chronic exposure has been associated with oxidative stress, hepatotoxicity, nephrotoxicity, and hematological alterations (El-Shenawy, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2010\u003c/span\u003e; Rezg et al., \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2010\u003c/span\u003e). In recent years, medicinal plants with antioxidant and anti-inflammatory properties have gained considerable attention as potential protective agents against pesticide-induced toxicity. \u003cem\u003eZiziphus nummularia\u003c/em\u003e (family: Rhamnaceae), traditionally used in Ayurvedic and Unani medicine, is known for its pharmacological activities, including hepatoprotective, nephroprotective, and antioxidant effects (Sharma et al., \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Its leaves contain diverse bioactive compounds such as flavonoids, alkaloids, saponins, and tannins, which contribute to free radical scavenging and cellular protection, particularly in liver and kidney tissues that are primary targets of toxic insult (Ahmad et al., \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2014\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eExperimental studies have further highlighted the therapeutic potential of \u003cem\u003eZ. nummularia\u003c/em\u003e leaf extracts. Ethyl acetate fractions demonstrated strong antioxidant activity, achieving nearly 97% DPPH radical scavenging in vitro, largely attributed to flavonoid glycosides such as quercetin and kaempferol (Mesmar et al., \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Additionally, these extracts exhibited notable anti-inflammatory activity by suppressing TNF-α\u0026ndash;induced NF-κB activation and adhesion molecule expression in human vascular cells. In rodent models, topical application reduced edema and promoted wound healing, further supporting its tissue-protective capacity (Fardoun et al., 2017). Given the reported hepatoprotective effects of related \u003cem\u003eZiziphus\u003c/em\u003e species, these findings justify exploring its efficacy against Quinalphos-induced liver and kidney toxicity. Therefore, the present study was designed to evaluate the protective effects of \u003cem\u003eZ. nummularia\u003c/em\u003e leaf extract against Quinalphos-induced hepatic and renal toxicity in Wistar rats, with particular emphasis on biochemical and hematological parameters.\u003c/p\u003e"},{"header":"2. Materials and methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003e2.1 Chemicals and Instruments\u003c/h2\u003e\u003cp\u003eAll chemicals and reagents used were of analytical grade. Ethanol, xylene, chloroform, May\u0026ndash;Gr\u0026uuml;nwald solution, Giemsa stain solution, Bouin\u0026rsquo;s solution, haematoxylin, eosin, paraffin wax, sodium hydroxide, and distilled water were procured from HiMedia Ltd., Mumbai, India. Plant materials were dried and ground using a ventilation-assisted drying oven (1350FX, USA) and grinding mill (MX-335, Panasonic, Malaysia). Haematological tests were performed using an automated haematology analyser (Coulter T890, Beckman Coulter, Tokyo), and biochemical analyses were carried out on a Dade Behring Dimension RxL analyser (Siemens Healthcare, Camberley, UK).\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e\u003ch2\u003e2.2 Identification, Collection, and Extraction of Plant Material\u003c/h2\u003e\u003cp\u003eFresh leaves of \u003cem\u003eZiziphus nummularia\u003c/em\u003e (Burm.f.) Wight \u0026amp; Arn. were collected in January 2025 from Nallur, Thiruvarur district, Tamil Nadu, India. The plant was authenticated by Fr. L. John Peter Arulanandam SJ, St. Joseph\u0026rsquo;s College, Tiruchirappalli. A voucher specimen (Accession No. SJCR.R001) was deposited at the Rapinet Herbarium and Centre for Molecular Systematics, St. Joseph\u0026rsquo;s College, Tiruchirappalli, Tamil Nadu, India (PIN 620002). Leaves were dried at a moderate temperature (3.0 kg batch), crushed, and powdered. Maceration of the powdered leaves was performed in ethanol (100 mg) for 72 h at room temperature. The extract was filtered through Whatman No. 1 filter paper and concentrated under reduced pressure using a rotary evaporator to obtain the crude extract (Zhang et al., 2018).\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec5\" class=\"Section2\"\u003e\u003ch2\u003e2.3 Experimental Animals\u003c/h2\u003e\u003cp\u003eMale Wistar albino rats (6\u0026ndash;8 weeks old, weighing 100\u0026ndash;120 g) were procured from the National Institute of Nutrition (Hyderabad, India). Animals were maintained under standard laboratory conditions with a commercial pellet diet and water ad libitum. They were acclimatized for one week before experimentation. All procedures followed the methods described by Nguenang et al. (2020).\u003c/p\u003e\u003cp\u003eA total of 30 rats were divided into five groups (n\u0026thinsp;=\u0026thinsp;6 per group). Control animals received distilled water via oral gastric intubation, while treatment groups (Groups II\u0026ndash;V) received respective interventions for 28 consecutive days.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec6\" class=\"Section2\"\u003e\u003ch2\u003e2.4 Experimental Design\u003c/h2\u003e\u003cp\u003eThe study design followed OECD guideline 407 (OECD, 2008). Rats were divided as follows: Group I \u0026ndash; Control: Received distilled water (normal saline), Group II \u0026ndash; Toxicant-induced: Received Quinalphos only, to induce hepato-renal toxicity, Group III \u0026ndash; High-dose treatment: Received Quinalphos\u0026thinsp;+\u0026thinsp;\u003cem\u003eZ. nummularia\u003c/em\u003e extract (400 mg/kg body weight), Group IV \u0026ndash; Low-dose treatment: Received Quinalphos\u0026thinsp;+\u0026thinsp;\u003cem\u003eZ. nummularia\u003c/em\u003e extract (200 mg/kg body weight), Group V \u0026ndash; Vehicle control: Received Quinalphos\u0026thinsp;+\u0026thinsp;vehicle used for plant extract delivery, to exclude effects due to the solvent.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec7\" class=\"Section2\"\u003e\u003ch2\u003e2.5 Sacrifice of Animals and Collection of Samples\u003c/h2\u003e\u003cp\u003eAt the end of the 28-day treatment (day 29), rats were anesthetized by intraperitoneal injection of a ketamine\u0026ndash;xylazine cocktail (100 mg/kg ketamine\u0026thinsp;+\u0026thinsp;12 mg/kg xylazine, ratio 10:1). Blood was collected by retro-orbital puncture into heparinised capillary tubes. Serum was separated by centrifugation at 3000 rpm for 10 min and stored at \u0026minus;\u0026thinsp;20\u0026deg;C until biochemical analysis. This preservation ensured reliable haematological and biochemical evaluation.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\u003ch2\u003e2.6 Biochemical Assays\u003c/h2\u003e\u003cp\u003eBiochemical parameters were analyzed following Nguenang et al. (2020). Serum proteins, urea, creatinine, total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL), triglycerides (TG), and alkaline phosphatase (ALP) were measured using commercial kits (SPINREACT, Spain). Liver enzymes [alanine aminotransferase (ALT), aspartate aminotransferase (AST), and alkaline phosphatase (ALP)] were determined by enzyme immunoassay (EIA) kits (Sigma-Aldrich, St. Louis, MO) following Reitman and Frankel (1957). Serum albumin was quantified, and renal function was assessed by measuring urea and creatinine levels (Bartels et al., 1972).\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec9\" class=\"Section2\"\u003e\u003ch2\u003e2.7 Haematological Parameters\u003c/h2\u003e\u003cp\u003eHaematological indices were measured using an automated analyser (QBC Auto-Read Plus; Beckman Coulter JT series). Parameters included leukocytes, neutrophils, eosinophils, basophils, lymphocytes, monocytes, red blood cells (RBC), haemoglobin (Hb), mean corpuscular volume (MCV), mean corpuscular haemoglobin (MCH), mean corpuscular haemoglobin concentration (MCHC), platelets (PLT), haematocrit (HCT), and red cell distribution width (RDW-CV and RDW-SD).\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec10\" class=\"Section2\"\u003e\u003ch2\u003e2.8 Red Blood Cell Indices\u003c/h2\u003e\u003cp\u003eRed blood cell indices were calculated using Wintrobe\u0026rsquo;s formulas (1929) with Hb (g/dL), packed cell volume (PCV, %), and RBC count (million/\u0026micro;L):\u003c/p\u003e\u003cp\u003eMCV (fL) = (PCV \u0026times; 10) / RBC\u003c/p\u003e\u003cp\u003eMCH (pg) = (Hb \u0026times; 10) / RBC\u003c/p\u003e\u003cp\u003eMCHC (g/dL) = (Hb \u0026times; 100) / HCT (or PCV)\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec11\" class=\"Section2\"\u003e\u003ch2\u003e2.9 Statistical Analysis\u003c/h2\u003e\u003cp\u003eData were expressed as mean\u0026thinsp;\u0026plusmn;\u0026thinsp;standard deviation (SD). One-way analysis of variance (ANOVA) was performed using the General Linear Model in IBM SPSS software. Post-hoc comparisons were carried out with the Waller\u0026ndash;Duncan test. Statistical significance was set at p\u0026thinsp;\u0026le;\u0026thinsp;0.05.\u003c/p\u003e\u003c/div\u003e"},{"header":"3. Results","content":"\u003cp\u003eThis study evaluated the recovery from Quinolphos-induced toxicity following treatment with \u003cem\u003eZiziphus nummularia\u003c/em\u003e leaf extract. Biochemical assays assessed hepatic, renal, and lipid parameters, while haematological indices were also examined. Rats were divided into five groups (n\u0026thinsp;=\u0026thinsp;6 each): control, induced, high dose (500 mg/kg), low dose (250 mg/kg), and vehicle (300 mg/kg).\u003c/p\u003e\u003cdiv id=\"Sec13\" class=\"Section2\"\u003e\u003ch2\u003e3.1 Effect on Hepatic Function\u003c/h2\u003e\u003cdiv id=\"Sec14\" class=\"Section3\"\u003e\u003ch2\u003e3.1.1 Liver Marker Enzymes (ALT, AST, ALP)\u003c/h2\u003e\u003cp\u003eThe activities of alanine aminotransferase (ALT), aspartate aminotransferase (AST), and alkaline phosphatase (ALP) are summarized in Table\u0026nbsp;1 and Figs.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e\u0026ndash;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e.\u003c/p\u003e\u003cp\u003eTable 1 : ANOVA statistical analysis of liver functions test in rats recovery of chronic toxicity analysis in quinolphos induced ziziphus nummularia leaves extract\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" width=\"666\" height=\"704\"\u003e\u003c/p\u003e\n\u003cp\u003eTable:1. Data represented as mean + SD (ANOVA)(n=6)\u003csup\u003ea\u0026nbsp;\u003c/sup\u003esignificant at p\u0026lt; 0.05, compared to control,\u003csup\u003eb\u0026nbsp;\u003c/sup\u003esignificant at p\u0026lt; 0.05 of the 500 mg/kg (high dose)treated groups compared to control and \u003csup\u003ec\u0026nbsp;\u003c/sup\u003esignificant at p\u0026lt; 0.05 of the 250 mg/kg (low dose)treated groups compared to control.,where p-value significant at p\u0026lt; 0.05\u0026nbsp;\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eALT\u003c/strong\u003e\u003cp\u003eQuinolphos induction significantly reduced ALT activity (10.88) compared to the control (13.35, p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). High-dose treatment restored ALT to 14.06 (p\u0026thinsp;\u0026lt;\u0026thinsp;0.01 vs. induced), comparable to control values (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05). The low-dose group (12.10) showed partial recovery, while the vehicle group (13.46) was similar to control.\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eAST\u003c/strong\u003e\u003cp\u003eThe induced group recorded a significant decline (13.40\u0026thinsp;\u0026plusmn;\u0026thinsp;0.46) compared with control (15.10\u0026thinsp;\u0026plusmn;\u0026thinsp;1.96, p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). Both high-dose (16.40\u0026thinsp;\u0026plusmn;\u0026thinsp;2.04) and low-dose (16.56\u0026thinsp;\u0026plusmn;\u0026thinsp;1.18) treatments significantly improved AST activity (p\u0026thinsp;\u0026lt;\u0026thinsp;0.01 vs. induced), approaching vehicle values (16.90\u0026thinsp;\u0026plusmn;\u0026thinsp;1.41). No significant differences were observed between treatment and vehicle groups (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05).\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eALP\u003c/strong\u003e\u003cp\u003eA slight elevation was observed in the induced group (53.55) compared to control (52.70), but this was not significant (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05). High-dose (52.20) and low-dose (52.40) treatments normalized ALP activity, with no differences from control or vehicle (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05).\u003c/p\u003e\u003c/p\u003e\u003cp\u003eQuinolphos altered liver enzyme activities, while \u003cem\u003eZ. nummularia\u003c/em\u003e extract, particularly at the high dose, restored ALT and AST levels toward normal, with ALP remaining largely unaffected.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec15\" class=\"Section3\"\u003e\u003ch2\u003e3.1.2 Serum Protein Profile (Albumin, Globulin, Total Protein, A/G Ratio)\u003c/h2\u003e\u003cp\u003eTable\u0026nbsp;1 presents the effects of Quinolphos and \u003cem\u003eZ. nummularia\u003c/em\u003e on serum protein levels.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eAlbumin\u003c/strong\u003e\u003cp\u003eQuinolphos induction significantly increased albumin (1.72\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05 g/dL) vs. control. High-dose treatment restored levels to 1.23\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05 g/dL (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05 vs. induced), comparable to control.Low dose (1.03\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05 g/dL) showed partial recovery.\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eGlobulin\u003c/strong\u003e\u003cp\u003eThe induced group showed elevated globulin (2.26\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06 g/dL) vs. control. High dose significantly reduced globulin (1.33\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06 g/dL; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001 vs. induced). Low dose showed moderate improvement (1.60\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06 g/dL).\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eTotal Protein\u003c/strong\u003e\u003cp\u003eQuinolphos induction elevated total protein (3.97\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07 g/dL). High dose (3.56\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07) and low dose (3.65\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07) normalized values close to control.\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eA/G Ratio\u003c/strong\u003e\u003cp\u003eBoth high-dose (0.36\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07) and low-dose (0.32\u0026thinsp;\u0026plusmn;\u0026thinsp;0.18) groups showed marked decreases in the A/G ratio compared to control and induced groups (p\u0026thinsp;\u0026lt;\u0026thinsp;0.01).\u003c/p\u003e\u003c/p\u003e\u003cp\u003eTreatment with the high dose markedly restored these parameters toward normal values, with albumin (1.23\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05 g/dl) and total protein (3.56\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07 g/dl) being comparable to the control group, while globulin levels were significantly reduced \u003cb\u003e(\u003c/b\u003e1.33\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06 g/dl; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001 compared to induced\u003cb\u003e)\u003c/b\u003e. The low dose group showed partial improvement, recording albumin (1.03\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05 g/dl), globulin (1.60\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06 g/dl), and total protein (3.65\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07 g/dl), which were significantly lower than the induced group but remained above high dose values. The vehicle group did not differ significantly from control.In albu globulin ratio g/dl where both the High Dose (0.36\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07) and Low Dose (0.32\u0026thinsp;\u0026plusmn;\u0026thinsp;0.18) groups showed a marked decrease in the A/G ratio, indicating significant changes compared to both Control and Induced groups \u003cb\u003e(\u003c/b\u003ep\u0026thinsp;\u0026lt;\u0026thinsp;0.01\u003cb\u003e)\u003c/b\u003e.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec16\" class=\"Section3\"\u003e\u003ch2\u003e3.1.3 Bilirubin Levels (Direct, Indirect, Total)\u003c/h2\u003e\u003cp\u003e\u003cstrong\u003eDirect Bilirubin\u003c/strong\u003e\u003cp\u003eOnly the low-dose group showed a significant elevation (0.1333\u0026thinsp;\u0026plusmn;\u0026thinsp;0.0231 mg/dL; p\u0026thinsp;\u0026lt;\u0026thinsp;0.01 vs. control). High dose (0.0700\u0026thinsp;\u0026plusmn;\u0026thinsp;0.0200) and vehicle (0.0767\u0026thinsp;\u0026plusmn;\u0026thinsp;0.0116) remained comparable to control.\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eIndirect Bilirubin\u003c/strong\u003e\u003cp\u003eInduced, high-dose, low-dose, and vehicle groups all showed significant declines compared to control (p\u0026thinsp;\u0026lt;\u0026thinsp;0.01\u0026ndash;0.05), suggesting altered bilirubin metabolism.\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eTotal Bilirubin\u003c/strong\u003e\u003cp\u003eBoth induced and treatment groups recorded reductions compared with control, except the vehicle group, which remained statistically similar.\u003c/p\u003e\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv id=\"Sec17\" class=\"Section2\"\u003e\u003ch2\u003e3.2 Renal Function Parameters (Urea, Creatinine, Uric Acid, Glucose)\u003c/h2\u003e\u003cp\u003e\u003cstrong\u003eUrea\u003c/strong\u003e\u003cp\u003eSerum urea levels ranged from 15.40\u0026thinsp;\u0026plusmn;\u0026thinsp;1.60 to 19.03\u0026thinsp;\u0026plusmn;\u0026thinsp;2.92 mg/dL across groups. No significant differences were observed (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05).\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eCreatinine\u003c/strong\u003e\u003cp\u003eLevels remained stable (0.70\u0026ndash;0.80\u0026thinsp;\u0026plusmn;\u0026thinsp;0.10 mg/dL) with no significant differences across groups (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05).\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eGlucose\u003c/strong\u003e\u003cp\u003eSerum glucose levels varied widely (33.05\u0026thinsp;\u0026plusmn;\u0026thinsp;5.55 to 61.33\u0026thinsp;\u0026plusmn;\u0026thinsp;24.17 mg/dL). The vehicle group showed a significant increase compared to control.\u003c/p\u003e\u003c/p\u003e\u003cp\u003eIn Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e2\u003c/span\u003e Urea levels are not significantly different among groups. The mean serum urea levels ranged from 15.40\u0026thinsp;\u0026plusmn;\u0026thinsp;1.60 mg/dL \u003cb\u003eto\u003c/b\u003e 19.03\u0026thinsp;\u0026plusmn;\u0026thinsp;2.92 mg/dL across the experimental groups. It is indicated that the differences were not statistically significant (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05). This suggests that quinolphos exposure and treatment alter urea levels. Creatinine is stable, no significant effect across groups. Serum creatinine values were maintained between 0.70\u0026thinsp;\u0026plusmn;\u0026thinsp;0.10 mg/dL and 0.80\u0026thinsp;\u0026plusmn;\u0026thinsp;0.10 mg/dL across groups. No significant difference was detected among groups compared to control \u003cb\u003e(\u003c/b\u003ep\u0026thinsp;\u0026gt;\u0026thinsp;0.05\u003cb\u003e).\u003c/b\u003e Glucose is significantly higher in vehicle compared to control. Serum glucose levels varied more widely, ranging from 33.05\u0026thinsp;\u0026plusmn;\u0026thinsp;5.55 mg/dL to 61.33\u0026thinsp;\u0026plusmn;\u0026thinsp;24.17 mg/dL.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eANOVA statistical analysis of renal functions test in rats chronic recovery of toxicity analysis in quinolphos induced ziziphus nummularia leaf extract\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"6\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eParameter\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eControl\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eQuinolphos Induced\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eHigh Dose (500 mg/kg)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003eLow Dose (250 mg/kg)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eVehicle\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eUrea (mg/dL)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e18.1\u0026thinsp;\u0026plusmn;\u0026thinsp;2.7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e15.4\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6ᵃ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e15.6\u0026thinsp;\u0026plusmn;\u0026thinsp;2.3ᵇ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e18.0\u0026thinsp;\u0026plusmn;\u0026thinsp;4.5ᶜ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e19.0\u0026thinsp;\u0026plusmn;\u0026thinsp;2.9\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eCreatinine (mg/dL)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0.70\u0026thinsp;\u0026plusmn;\u0026thinsp;0.10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0.80\u0026thinsp;\u0026plusmn;\u0026thinsp;0.10ᵃ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0.70\u0026thinsp;\u0026plusmn;\u0026thinsp;0.10ᵇ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0.73\u0026thinsp;\u0026plusmn;\u0026thinsp;0.15ᶜ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0.70\u0026thinsp;\u0026plusmn;\u0026thinsp;0.10\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eUric Acid (mg/dL)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e1.65\u0026thinsp;\u0026plusmn;\u0026thinsp;0.15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1.25\u0026thinsp;\u0026plusmn;\u0026thinsp;0.05ᵃ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1.60\u0026thinsp;\u0026plusmn;\u0026thinsp;0.30ᵇ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e1.57\u0026thinsp;\u0026plusmn;\u0026thinsp;0.25ᶜ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e1.53\u0026thinsp;\u0026plusmn;\u0026thinsp;0.38\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eGlucose (mg/dL)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e33.8\u0026thinsp;\u0026plusmn;\u0026thinsp;17.9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e33.1\u0026thinsp;\u0026plusmn;\u0026thinsp;5.6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e35.3\u0026thinsp;\u0026plusmn;\u0026thinsp;16.9ᵇ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e61.3\u0026thinsp;\u0026plusmn;\u0026thinsp;24.2ᶜ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e41.2\u0026thinsp;\u0026plusmn;\u0026thinsp;14.8\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003ctfoot\u003e\u003ctr\u003e\u003ctd colspan=\"6\"\u003eTable:2 Data represented as mean\u0026thinsp;+\u0026thinsp;SD (ANOVA)\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd colspan=\"6\"\u003e\u003csup\u003ea\u003c/sup\u003e significant at p\u0026thinsp;\u0026lt;\u0026thinsp;0.05, compared to control\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd colspan=\"6\"\u003e\u003csup\u003eb\u003c/sup\u003e significant at p\u0026thinsp;\u0026lt;\u0026thinsp;0.05 of the 500 mg/kg (high dose)treated groups compared to control\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd colspan=\"6\"\u003e\u003csup\u003ec\u003c/sup\u003e significant at p\u0026thinsp;\u0026lt;\u0026thinsp;0.05 of the 250 mg/kg (low dose)treated groups compared to control.,where p-value significant at p\u0026thinsp;\u0026lt;\u0026thinsp;0.05\u003c/td\u003e\u003c/tr\u003e\u003c/tfoot\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec18\" class=\"Section2\"\u003e\u003ch2\u003e3.3 Lipid Profile Parameters\u003c/h2\u003e\u003cp\u003eTreatment with \u003cem\u003eZ. nummularia\u003c/em\u003e extract significantly improved HDL levels (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05), particularly in the high-dose group (500 mg/kg). The low-dose group (250 mg/kg) also showed significant improvement. LDL/HDL and TC/HDL ratios approached normal in extract-treated groups compared to Quinolphos-induced rats (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e3\u003c/span\u003e, Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eANOVA statistical analysis of lipid parameters in rats chronic recovery of toxicity analysis in quinolphos induced ziziphus nummularia leaf extract\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"6\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eParameter\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eControl\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eQuinolphos Induced\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eHigh Dose (500 mg/kg)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003eLow Dose (250 mg/kg)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eVehicle\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eTotal Cholesterol (mg/dL)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e136.0\u0026thinsp;\u0026plusmn;\u0026thinsp;12.0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e124.0\u0026thinsp;\u0026plusmn;\u0026thinsp;5.0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e153.0\u0026thinsp;\u0026plusmn;\u0026thinsp;17.1ᵇ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e157.7\u0026thinsp;\u0026plusmn;\u0026thinsp;10.5ᶜ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e149.7\u0026thinsp;\u0026plusmn;\u0026thinsp;17.5\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eTriglycerides (mg/dL)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e111.0\u0026thinsp;\u0026plusmn;\u0026thinsp;22.0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e117.5\u0026thinsp;\u0026plusmn;\u0026thinsp;5.5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e89.7\u0026thinsp;\u0026plusmn;\u0026thinsp;12.0ᵇ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e138.3\u0026thinsp;\u0026plusmn;\u0026thinsp;16.9ᶜ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e106.0\u0026thinsp;\u0026plusmn;\u0026thinsp;8.2\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eHDL (mg/dL)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e13.4\u0026thinsp;\u0026plusmn;\u0026thinsp;2.2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e21.2\u0026thinsp;\u0026plusmn;\u0026thinsp;2.3ᵃ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e19.6\u0026thinsp;\u0026plusmn;\u0026thinsp;7.6ᵇ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e25.6\u0026thinsp;\u0026plusmn;\u0026thinsp;6.2ᶜ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e22.7\u0026thinsp;\u0026plusmn;\u0026thinsp;3.8\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eLDL (mg/dL)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e100.4\u0026thinsp;\u0026plusmn;\u0026thinsp;18.6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e79.4\u0026thinsp;\u0026plusmn;\u0026thinsp;3.9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e115.5\u0026thinsp;\u0026plusmn;\u0026thinsp;24.1ᵇ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e104.4\u0026thinsp;\u0026plusmn;\u0026thinsp;9.0ᶜ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e105.7\u0026thinsp;\u0026plusmn;\u0026thinsp;13.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eVLDL (mg/dL)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e22.2\u0026thinsp;\u0026plusmn;\u0026thinsp;4.4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e23.5\u0026thinsp;\u0026plusmn;\u0026thinsp;1.1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e17.9\u0026thinsp;\u0026plusmn;\u0026thinsp;2.4ᵇ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e27.7\u0026thinsp;\u0026plusmn;\u0026thinsp;3.4ᶜ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e21.2\u0026thinsp;\u0026plusmn;\u0026thinsp;1.6\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eTC/HDL Ratio\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e10.6\u0026thinsp;\u0026plusmn;\u0026thinsp;2.6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e5.9\u0026thinsp;\u0026plusmn;\u0026thinsp;0.4ᵃ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e8.7\u0026thinsp;\u0026plusmn;\u0026thinsp;3.5ᵇ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e6.4\u0026thinsp;\u0026plusmn;\u0026thinsp;1.4ᶜ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e6.5\u0026thinsp;\u0026plusmn;\u0026thinsp;0.2\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eNon-HDL (mg/dL)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e122.6\u0026thinsp;\u0026plusmn;\u0026thinsp;14.2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e102.9\u0026thinsp;\u0026plusmn;\u0026thinsp;2.8\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e133.4\u0026thinsp;\u0026plusmn;\u0026thinsp;24.6ᵇ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e132.1\u0026thinsp;\u0026plusmn;\u0026thinsp;8.7ᶜ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e126.9\u0026thinsp;\u0026plusmn;\u0026thinsp;13.7\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eLDL/HDL Ratio\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e7.9\u0026thinsp;\u0026plusmn;\u0026thinsp;2.7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e3.8\u0026thinsp;\u0026plusmn;\u0026thinsp;0.2ᵃ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e6.7\u0026thinsp;\u0026plusmn;\u0026thinsp;3.2ᵇ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e4.3\u0026thinsp;\u0026plusmn;\u0026thinsp;1.3ᶜ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e4.7\u0026thinsp;\u0026plusmn;\u0026thinsp;0.3\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eTable 3 : Data represented as mean + SD (ANOVA)(n=6).\u003c/p\u003e\n\u003cp\u003e\u003csup\u003ea\u0026nbsp;\u003c/sup\u003esignificant at p\u0026lt; 0.05, compared to control\u003c/p\u003e\n\u003cp\u003e\u003csup\u003eb\u0026nbsp;\u003c/sup\u003esignificant at p\u0026lt; 0.05 of the 500 mg/kg (high dose)treated groups compared to control\u003c/p\u003e\n\u003cp\u003e\u003csup\u003ec\u0026nbsp;\u003c/sup\u003esignificant at p\u0026lt; 0.05 of the 250 mg/kg (low dose)treated groups compared to control.,where p-value significant at p\u0026lt; 0.05\u0026nbsp;\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec19\" class=\"Section2\"\u003e\u003ch2\u003e3.4 Haematological Indices\u003c/h2\u003e\u003cp\u003eAs shown in Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e4\u003c/span\u003e, high-dose treatment significantly increased Hb, RBC, PCV, and platelet counts compared with control (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05). Quinolphos exposure altered leukocyte distribution: neutrophils increased (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05), lymphocytes rose (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05), and eosinophils, monocytes, and basophils declined significantly (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05 vs. control; Fig.\u0026nbsp;\u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e6\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eEffect of Haematological indices in Quinolphos induced Ziziphus nummularia leaves extract ;\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"5\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eGroup\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eHb (g/dL)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003ePCV% RBC (\u0026times;10⁶/\u0026micro;L)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eWBC (cells/\u0026micro;L)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePlatelets (\u0026times;10\u0026sup3;/\u0026micro;L)\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eControl\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e6.97\u0026thinsp;\u0026plusmn;\u0026thinsp;0.46ᵃ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e19.90\u0026thinsp;\u0026plusmn;\u0026thinsp;2.09\u003csup\u003ea\u003c/sup\u003e 1.99\u0026thinsp;\u0026plusmn;\u0026thinsp;0.66ᵃ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e12,533ᵃ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e332\u0026thinsp;\u0026plusmn;\u0026thinsp;45.54ᵃ\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eInduced\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e8.13\u0026thinsp;\u0026plusmn;\u0026thinsp;0.46ᵇ*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e27\u0026thinsp;\u0026plusmn;\u0026thinsp;0.46\u003csup\u003eb*\u003c/sup\u003e 2.71\u0026thinsp;\u0026plusmn;\u0026thinsp;0.15ᵇ*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e9,600 ᵇ*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e333\u0026thinsp;\u0026plusmn;\u0026thinsp;60.61ᵃ\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eHigh Dose\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e7.27\u0026thinsp;\u0026plusmn;\u0026thinsp;1.0ᵇᶜ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e24.33\u0026thinsp;\u0026plusmn;\u0026thinsp;1.0\u003csup\u003ebc\u003c/sup\u003e 2.42\u0026thinsp;\u0026plusmn;\u0026thinsp;0.33ᶜ*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e8,900\u0026thinsp;\u0026plusmn;\u0026thinsp;721ᵇ*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e384\u0026thinsp;\u0026plusmn;\u0026thinsp;34.67ᶜ*\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eLow Dose\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e7.60\u0026thinsp;\u0026plusmn;\u0026thinsp;0.96ᶜ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e25.33\u0026thinsp;\u0026plusmn;\u0026thinsp;0.96\u003csup\u003ebc\u003c/sup\u003e 2.53\u0026thinsp;\u0026plusmn;\u0026thinsp;0.32ᶜ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e12,467 ᵃᶜ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e400\u0026thinsp;\u0026plusmn;\u0026thinsp;27.07ᶜ**\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eVehicle\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e6.83\u0026thinsp;\u0026plusmn;\u0026thinsp;0.11ᵃ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e22.77\u0026thinsp;\u0026plusmn;\u0026thinsp;0.12\u003csup\u003eac\u003c/sup\u003e 2.28\u0026thinsp;\u0026plusmn;\u0026thinsp;0.04ᵃᶜ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e11,000 ᵃᶜ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e356\u0026thinsp;\u0026plusmn;\u0026thinsp;62.32ᵃᶜ\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003ctfoot\u003e\u003ctr\u003e\u003ctd colspan=\"5\"\u003eValues are expressed as Mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD (n\u0026thinsp;=\u0026thinsp;6).p\u0026thinsp;\u0026lt;\u0026thinsp;0.05 considered statistically significant.Superscripts (a, b, c) indicate statistical comparisons where a: not significantly different from Control,b: significant compared to Control (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) c: significant compared to Induced (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05): p\u0026thinsp;\u0026lt;\u0026thinsp;0.05, ** : p\u0026thinsp;\u0026lt;\u0026thinsp;0.01\u003c/td\u003e\u003c/tr\u003e\u003c/tfoot\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cem\u003eZ. nummularia\u003c/em\u003e extract moderated these effects. The low-dose group reduced neutrophil elevation (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05 vs. induced) and restored lymphocyte levels toward normal. The high-dose group prevented further deterioration but did not fully normalize values. The vehicle group remained comparable to control (not significant).\u003c/p\u003e\u003cdiv id=\"Sec20\" class=\"Section3\"\u003e\u003ch2\u003e3.4.1 Red Blood Cell Indices (MCV, MCH, MCHC)\u003c/h2\u003e\u003cp\u003e\u003cstrong\u003eMCV\u003c/strong\u003e\u003cp\u003eAll groups remained at ~\u0026thinsp;100 fL; no significant differences were observed (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05).\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003eMCH \u0026amp; MCHC\u003c/b\u003e: Control animals recorded significantly higher values (MCH: 35 pg; MCHC: 35 g/dL). Quinolphos induction caused a marked reduction (30 pg; 30 g/dL, p\u0026thinsp;\u0026lt;\u0026thinsp;0.05 vs. control).\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e"},{"header":"4. Discussion","content":"\u003cp\u003eZiziphus species, including \u003cem\u003eZ. nummularia\u003c/em\u003e, are generally regarded as non-toxic at therapeutic doses, although further rigorous toxicity studies are required to confirm their safety profile. Previous investigations have not reported target-organ toxicity or mortality associated with \u003cem\u003eZ. nummularia\u003c/em\u003e at minimal dosing (El Maaiden et al., \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). The phytochemical composition of \u003cem\u003eZ. nummularia\u003c/em\u003e leaf extract includes terpenoids, flavonoids, and alkaloids, which are known to possess pharmacological and phytopharmaceutical significance. A recent study (Imran et al., \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2024\u003c/span\u003e) demonstrated that fractionated ethanolic leaf extracts exhibit strong antioxidant and anticancer properties, particularly against triple-negative breast cancer cells.\u003c/p\u003e\u003cp\u003eIn the present study, quinolphos exposure altered liver enzyme activity, while \u003cem\u003eZ. nummularia\u003c/em\u003e leaf extract\u0026mdash;particularly at the high dose\u0026mdash;significantly restored ALT and AST levels, with ALP remaining largely unaffected. There was significant decrease observed in serum albumin and total protein level of rat in lead acetate only compared to control.In contract other than certain rats treated with DSALME-MD there was a significant increase level compared control is investigated in (E.F Isoje et.,al 2025). This hepatoprotective effect is consistent with the observed normalization of lipid parameters. Since reductions in HDL-C and elevations in TG/VLDL-C are markers of atherogenic risk, reversal of these alterations suggests that \u003cem\u003eZ. nummularia\u003c/em\u003e may mitigate cardiometabolic risk secondary to toxicant exposure. While rodent lipid values cannot be directly extrapolated to human clinical risk, the trend toward normalization strongly indicates hepatoprotection.\u003c/p\u003e\u003cp\u003eQuinolphos exposure also significantly impaired renal function, as evidenced by elevated serum urea and creatinine. Treatment with \u003cem\u003eZ. nummularia\u003c/em\u003e leaf extract mitigated these changes in a dose-dependent manner, with the 500 mg/kg dose demonstrating superior renoprotective effects. These findings are consistent with earlier reports where extracts from other \u003cem\u003eZiziphus\u003c/em\u003e species (\u003cem\u003eZ. jujuba\u003c/em\u003e, \u003cem\u003eZ. mauritiana\u003c/em\u003e) reduced urea and creatinine in nephrotoxicity models (Alsayari et al., 2022; Labban, 2013). Antioxidant-rich plants are known to counteract renal injury (Kumar et al., 2021), and our results extend this protective role to \u003cem\u003eZ. nummularia\u003c/em\u003e leaves. Importantly, creatinine is considered a more precise biomarker of renal function compared to urea, which may vary with diet and exercise (Ebohon et al., \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). Quinolphos exposure significantly impaired renal function as evidenced by increased serum urea and creatinine(Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e3\u003c/span\u003e). Treatment with \u003cem\u003eZ. nummularia\u003c/em\u003e leaf extract mitigated these alterations in a dose-dependent, with 500 mg/kg showing superior protective effects. Artesunate treatment for 45 days significantly increased glucose where non- significant effect on urea and creatinine (P.Bigoniya et al., \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2015\u003c/span\u003e). The findings indicate that \u003cem\u003eZ. nummularia\u003c/em\u003e leaf extract exerts a renoprotective effect against quinolphos-induced toxicity), indicating preserved renal clearance capacity Their normalization by \u003cem\u003eZ. nummularia\u003c/em\u003e suggests that the extract may safeguard the kidneys against toxicant-induced injury, potentially lowering risk of chronic renal impairment.\u003c/p\u003e\u003cp\u003eOur results extend these observations to \u003cem\u003eZ. nummularia\u003c/em\u003e leaves, highlighting a dose-dependent renoprotective effect. Renal dysfunction is evaluated using signs such as urea, creatinine, and electrolyte measurements. However, compared to blood urea nitrogen, the creatinine test is a more precise indicator of renal impairment. This is due to the fact that a high-protein diet and exercise might affect blood urea levels (Ebohon,O et al.,2020).Overall, high dose treatment demonstrated the most effective normalization of serum protein markers, indicating a protective effect against quinolphos-induced alterations.\u003c/p\u003e\u003cp\u003eLipid profile analysis further supports the protective potential of \u003cem\u003eZ. nummularia\u003c/em\u003e. Quinolphos exposure produced dyslipidemia, characterized by increased TC, LDL-C, and non-HDL cholesterol, alongside decreased HDL-C (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05 vs. control). Treatment with \u003cem\u003eZ. nummularia\u003c/em\u003e leaf extract improved these indices in a dose-dependent manner, with the high-dose group showing the strongest recovery. These effects are attributed to bioactive flavonoids and saponins, which enhance HDL-C and reduce LDL-C levels (Kumar et al., 2021; Alsayari et al., 2022). Similar protective effects of antioxidant-rich plant extracts against organophosphate-induced dyslipidemia have been reported previously (Patel et al., 2021). Total Cholesterol (TC): Quinolphos induction increased TC compared with control (124 increases in 153 mg/dL). Administration of \u003cem\u003eZ. nummularia\u003c/em\u003e extract, particularly at high dose, tended to reduce cholesterol toward near-normal values (157.7 in induced when compared to 144.0mg/dL in treated).Triglycerides (TG): Induced rats showed fluctuations, with a notable reduction compared to control (111 directly increases to 89.6 mg/dL). Treatment with \u003cem\u003eZ. nummularia\u003c/em\u003e extract normalized TG levels (138.3 in high doses compared to 106.0 in vehicle), showing recovery toward physiological levels. The sub chronic oral toxicity investigation of plant showed dose dependent variation LDL cholesterol in rats treated with crude extract of H.roeperianum (ngaffo et al., 2022) statistically signicant level were observed.\u003c/p\u003e\u003cp\u003eQuinolphos exposure also produced hematological alterations. Significant leukocyte redistribution was observed, with increased neutrophils and lymphocytes, reflecting systemic inflammation and immune stress. High- and low-dose \u003cem\u003eZ. nummularia\u003c/em\u003e treatment groups demonstrated partial to near-complete normalization of leukocyte counts, with the low dose showing slightly better lymphocyte recovery. These results align with previous findings of organophosphate-induced immunotoxicity (Acharya et al., \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). RBC indices (MCV, MCH, and MCHC) revealed hypochromia in the induced group, with treatment unable to fully restore values to control levels. Nonetheless, Z. nummularia treatment improved erythropoietic balance and platelet counts, suggesting hematopoietic modulation. Similar effects have been observed in other plant-based interventions (Lodish et al., \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2010\u003c/span\u003e; Yakubu et al., 2024). Mean Corpuscular Volume (MCV) All groups remained at ~\u0026thinsp;100fL non-significant difference indicating a normocytic profile across treatments and induced conditions. MCH \u0026amp; MCHC which is Control animals had significantly higher MCH (35 pg) and MCHC (35 g/dL). Induced group showed a marked reduction (30 pg / 30 g/dL, p\u0026thinsp;\u0026lt;\u0026thinsp;0.05), consistent with hypochromia due to quinolphos toxicity(Table \u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e5\u003c/span\u003e). Both high and low dose treatment groups, as well as the vehicle group, maintained values closer to the Induced group rather than Control. This suggests that while treatment modulated RBC and Hb counts, it did not completely restore RBC indices.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eMean Corpuscular Volume (MCV),Mean Corpuscular Haemoglobin (MCH) and Mean Corpuscular Haemoglobin Concentration (MCHC) in quinolphos induced Ziziphus nummularia leaves extract\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"4\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eGroup\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eMCV (fL)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eMCH (pg)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eMCHC (g/dL)\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eControl\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e100.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.2ᵃ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e35.01\u0026thinsp;\u0026plusmn;\u0026thinsp;0.43ᵃ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e35.01\u0026thinsp;\u0026plusmn;\u0026thinsp;1.20ᵃ\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eInduced\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e100.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.1ᵃ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e30.01\u0026thinsp;\u0026plusmn;\u0026thinsp;0.23ᵇ*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e30.01\u0026thinsp;\u0026plusmn;\u0026thinsp;1.30ᵇ*\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eHigh Dose\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e100.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.2ᵃ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e29.99\u0026thinsp;\u0026plusmn;\u0026thinsp;0.33ᵇ*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e29.99\u0026thinsp;\u0026plusmn;\u0026thinsp;0.2ᵇ*\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eLow Dose\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e100.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.3ᵃ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e30.00\u0026thinsp;\u0026plusmn;\u0026thinsp;0.34ᵇ*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e30.00\u0026thinsp;\u0026plusmn;\u0026thinsp;1.7ᵇ*\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eVehicle\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e100.0\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7ᵃ\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e30.01\u0026thinsp;\u0026plusmn;\u0026thinsp;0.34ᵇ*\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e30.01\u0026thinsp;\u0026plusmn;\u0026thinsp;0.5ᵇ*\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003ctfoot\u003e\u003ctr\u003e\u003ctd colspan=\"4\"\u003eValues expressed as Mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD(ANOVA).\u003csup\u003ea\u003c/sup\u003e: no significant change compared to Control,\u003csup\u003eb\u003c/sup\u003e: significant compared to Control (p\u0026thinsp;\u0026lt;\u0026thinsp;0.05) *: where p-value is significant at \u0026lt;\u0026thinsp;0.05, MCV\u0026thinsp;=\u0026thinsp;Mean Corpuscular Volume (MCV),Mean Corpuscular Haemoglobin (MCH) and Mean Corpuscular Haemoglobin Concentration (MCHC)\u003c/td\u003e\u003c/tr\u003e\u003c/tfoot\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eIn (Table \u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e4\u003c/span\u003e) Induced group showed a significant rise in RBC, possibly due to compensatory erythropoiesis. Treatment (high dose more than low dose) reduced RBC values closer to normal, suggesting protective effect. Total RBC, haemoglobin, platelets, lymphocytes, and mean corpuscular haemoglobin concentration have not changed. Significant increases in WBC, neutrophil, eosinophil, packed cell volume, and mean cell haemoglobin were observed at the 8mg/kg/day dose level (p\u0026thinsp;\u0026lt;\u0026thinsp;0.01))( P.Bigoniya et al., \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2015\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eIn (Fig.\u0026nbsp;\u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e6\u003c/span\u003e) Treatment with \u003cem\u003eZ. nummularia\u003c/em\u003e leaf extract demonstrated a dose-dependent corrective effect is the high-dose group (500 mg/kg) exhibited near-control values in both neutrophils and lymphocytes, while the low-dose group showed moderate improvement. Minor variations in eosinophils and basophils were observed but remained within physiological ranges. Quinolphos-induced group which shows neutrophilia and lymphocytopenia of stress-induced leukocyte shift, consistent with systemic inflammation and immunotoxicity. High- and low-dose \u003cem\u003eZ. nummularia\u003c/em\u003e extract Improved lymphocyte levels. Reduced neutrophil rise compared with induced group\u003c/p\u003e\u003cp\u003eTaken together, the hepatoprotective, renoprotective, hypolipidemic, and immunomodulatory effects observed in this study indicate that \u003cem\u003eZ. nummularia\u003c/em\u003e extract can effectively counteract quinolphos-induced toxicity.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThis study highlights the importance of integrating biochemical and hematological indices to assess systemic toxicity and therapeutic interventions. Parameters such as RBC, Hb, WBC, and platelet counts provided insight into oxygen transport, immune regulation, and hemostasis, while liver and kidney function markers (ALT, AST, ALP, urea, creatinine, electrolytes) revealed the metabolic integrity of vital organs. The ethanolic extract of \u003cem\u003eZiziphus nummularia\u003c/em\u003e leaves demonstrated a significant protective effect against quinolphos-induced hepato-renal toxicity and dyslipidemia in rats. The high dose (500 mg/kg) consistently showed stronger recovery trends compared to the low dose (250 mg/kg), indicating a clear dose-dependent response. Importantly, no lethality or severe adverse effects were observed at the tested concentrations, suggesting a favorable safety profile. Unlike previous works that focused on isolated endpoints, this study provides a multiparametric evaluation of hepato-renal protection, lipid regulation, and hematological balance. The results highlight the immunomodulatory potential of \u003cem\u003eZ. nummularia\u003c/em\u003e in mitigating quinolphos-induced systemic toxicity. Overall, this research adds novel mechanistic evidence supporting \u003cem\u003eZ. nummularia\u003c/em\u003e as a promising natural candidate for preventing or alleviating organ damage caused by environmental toxicants. Further studies\u0026mdash;particularly chronic toxicity and mechanistic pathway analyses\u0026mdash;are warranted to translate these findings into clinical applications.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003ctable border=\"0\" cellspacing=\"3\" cellpadding=\"0\" width=\"610\"\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eParameter\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003e\u003cstrong\u003eAbbreviation\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eAlanine Aminotransferase\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eALT / SGPT\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eAspartate Aminotransferase\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eAST / SGOT\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eAlkaline Phosphatase\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eALP\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eGlobulin\u003c/p\u003e\n \u003cp\u003eAlbu globulin Ratio\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eGLOB\u003c/p\u003e\n \u003cp\u003eA/G Ration\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eCholesterol\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eTC\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eHigh-Density Lipoprotein\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eHDL-C\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eLow-Density Lipoprotein\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eLDL-C\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eVery Low-Density Lipoprotein\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eVLDL-C\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eWhite Blood Cell Count\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eWBC\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eRed Blood Cell Count\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eRBC\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eHemoglobin\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eHb\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eHematocrit\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eHCT / PCV\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eMean Corpuscular Volume\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eMCV\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eMean Corpuscular Hemoglobin\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eMCH\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eMean Corpuscular Hemoglobin Concentration\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eMCHC\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003ePlatelet Count\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003ePLT\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eNeutrophils\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eNEUT / ANC\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eLymphocytes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eLYM\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eMonocytes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eMONO\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eEosinophils\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eEOS\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd\u003e\n \u003cp\u003eBasophils\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd\u003e\n \u003cp\u003eBASO\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthical Approval:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe research/study was approved by the IAEC of J'J College of Arts and Science (Autonomous), Pudukkottai, number \u003cstrong\u003eJJC/BC/AH/010/2025\u003c/strong\u003e dated May 2025.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for Publication\u003c/strong\u003e -Not applicable.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for Participation\u003c/strong\u003e -Not applicable\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data:\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets generated and/or analyzed during the current study are available from the corresponding author .\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor contribution statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eRR led the research design, analysis, and manuscript preparation. AS and DP supervised the methodology GV contributed to revisions, supported literature review and result interpretation.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research did not receive any specific grant from funding agencies in the public,commercial and not-for-profit sectors.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflict of interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare no conflict of interest\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgement:\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors express their sincere gratitude to National college, PG and Research Department of Zoology and KIRND Institute Of Research and Development Pvt for providing the necessary facilities and Technical support for this research. Special thanks to all colleagues and contributors who offered guidance and assistance throughout the study.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eAcharya, B., Behera, A., Sahu, P. K., Chowdhury, B., \u0026amp; Behera, S. (2024). Evaluating maternal toxicity induced by aqueous extract of Bambusa vulgaris shoot through biochemical, hematological, and histopathological assessment in pregnant Wistar rats. Advances in Bamboo Science, 7, 100074.\u003c/li\u003e\n\u003cli\u003eAhmad, M., Alamgeer, Abbas, K., \u0026amp;Riaz, M. (2014).Hepatoprotective and nephroprotective potential of Ziziphus nummularia root extract against paracetamol-induced toxicity in mice. Tropical Journal of Pharmaceutical Research, 13(5), 739\u0026ndash;743. https://doi.org/10.4314/tjpr.v13i5.15\u003c/li\u003e\n\u003cli\u003eAlsayari, A., \u0026amp;Wahab, S. (2021). 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Oxidative stress responses of rats exposed to insecticide Quinalphos. \u003cem\u003eFood and Chemical Toxicology\u003c/em\u003e, 48(10), 2893\u0026ndash;2899. https://doi.org/10.1016/j.fct.2010.07.039\u003c/li\u003e\n\u003cli\u003eFardoun, Manal, Al-Shehabi, Tuqa, Et al.,(2017) \u003cem\u003eZiziphusnummularia\u003c/em\u003e Inhibits Inflammation-Induced Atherogenic Phenotype of Human Aortic Smooth Muscle Cells, \u003cem\u003eOxidative Medicine and Cellular Longevity\u003c/em\u003e, 2017, 4134093.\u003c/li\u003e\n\u003cli\u003eGaligher, A.E.; Kayloff, E.N. Essentials of practical micro techniques. Philadelphia, PA: Lea and Febiger; 1971\u003c/li\u003e\n\u003cli\u003eH. Lodish, J. Flygare, S. Chou, From stem cell to erythroblast: regulation of red cell production at multiple levels by multiple hormones, IUBMB Life 62 (7) (2010) 492\u0026ndash;496.\u003c/li\u003e\n\u003cli\u003eImran, S., Bibi, Y., Qayyum, A., Nisa, S., Shahzad, R., Alharbi, S. A., \u0026amp; Ansari, M. J. 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(2022). \u003cem\u003eZiziphusnummularia\u003c/em\u003e: A Comprehensive Review of Its Phytochemical Constituents and Pharmacological Properties. \u003cem\u003eMolecules\u003c/em\u003e, \u003cem\u003e27\u003c/em\u003e(13), 4240.https://doi.org/10.3390/molecules27134240\u003c/li\u003e\n\u003cli\u003eRezg, R., Mornagui, B., El-Fazaa, S., \u0026amp;Gharbi, N. (2010).Biochemical and histopathological evaluation of hepatic damage induced by subchronic exposure to propoxur in rats.\u003cem\u003eEcotoxicology and Environmental Safety\u003c/em\u003e, 73(5), 1350\u0026ndash;1356. https://doi.org/10.1016/j.ecoenv.2010.05.009\u003c/li\u003e\n\u003cli\u003eSarkar, B.; Chatterjee, A.; Adhikari, S.; Ayyappan, S. Carbofuran (\u003cstrong\u003e2005)\u003c/strong\u003e cypermethrin induced histopathological alterations in the liver of Labeorohita and its recovery. \u003cem\u003eJ ApplIchthyol\u003c/em\u003e, \u003cem\u003e21\u003c/em\u003e, 131\u0026ndash;135.\u003c/li\u003e\n\u003cli\u003eSharma, S., Kumar, D., \u0026amp; Jain, A. (2020).Pharmacognostical and phytochemical review of \u003cem\u003eZiziphusnummularia\u003c/em\u003e.\u003cem\u003eJournal of Pharmacognosy and Phytochemistry\u003c/em\u003e, 9(5), 1425\u0026ndash;1430.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Quinolphos, Hepato renal toxicity, lymphocytes, Z. nummularia","lastPublishedDoi":"10.21203/rs.3.rs-7705356/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7705356/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe present investigation was conducted to evaluate the recovery effect of \u003cem\u003eZiziphus nummularia\u003c/em\u003e leaf extract against hepato-renal toxicity induced by Quinolphos in Wistar rats. The study aimed to assess changes in biochemical and hematological parameters, including liver marker enzymes, renal functions, lipid profile parameters, and hematological indices. Thirty male rats were randomly divided into five groups: control, Quinolphos-induced, \u003cem\u003eZ. nummularia\u003c/em\u003e high dose (500 mg/kg), \u003cem\u003eZ. nummularia\u003c/em\u003e low dose (250 mg/kg), and vehicle control (300 mg/kg). Treatments were administered orally for four weeks. Quinolphos and \u003cem\u003eZ. nummularia\u003c/em\u003e were given in increasing doses relative to body weight. By the end of the second and fourth weeks, rats treated with Quinolphos in combination with \u003cem\u003eZ. nummularia\u003c/em\u003e extract (250, 300, and 500 mg/kg) showed significant improvements (p\u0026thinsp;\u0026le;\u0026thinsp;0.05) compared to the control group. In the lipid profile, rats receiving a high dose of \u003cem\u003eZ. nummularia\u003c/em\u003e (500 mg/kg) exhibited significantly higher levels of LDL and HDL compared with controls. Biochemical analysis revealed that, by the end of the fourth week, activities of the liver marker enzymes alanine aminotransferase (ALT), aspartate aminotransferase (AST), and alkaline phosphatase (ALP) had significantly increased. Hematological studies showed elevated levels of lymphocytes and neutrophils, while basophil levels declined. Mean corpuscular hemoglobin (MCH) and mean corpuscular hemoglobin concentration (MCHC) were significantly higher in control animals (35 pg and 35 g/dL, respectively), with differences significant at the 0.05 level. However, no significant rise in triglycerides or total cholesterol was observed compared with controls. In conclusion, the present study demonstrates the hepatotoxic and renotoxic effects of Quinolphos, and suggests that \u003cem\u003eZ. nummularia\u003c/em\u003e leaf extract may have protective or modulatory potential against such toxicity.\u003c/p\u003e","manuscriptTitle":"Haematological and biochemical assay in sub chronic toxicity and ameliorative effects of Ziziphus nummularia leaves extract on wister rat","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-10-21 06:25:23","doi":"10.21203/rs.3.rs-7705356/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"bae7e500-5cc4-4b7c-8b4d-028ef31012a5","owner":[],"postedDate":"October 21st, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-12-18T10:24:08+00:00","versionOfRecord":[],"versionCreatedAt":"2025-10-21 06:25:23","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7705356","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7705356","identity":"rs-7705356","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}